Update README.md

README.md

@@ -1,72 +1,12 @@
----
 license: mit
-tags:
-- generated_from_trainer
-metrics:
-- bleu
-model-index:
-- name: m2m100_418M-finetuned-ko-to-en4
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# m2m100_418M-finetuned-ko-to-en4
-
-This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4598
-- Bleu: 85.3745
-- Gen Len: 9.7522
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.001
-- train_batch_size: 4
-- eval_batch_size: 4
-- seed: 42
-- gradient_accumulation_steps: 256
-- total_train_batch_size: 1024
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 10
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 105  | 1.8667          | 24.5072 | 9.523   |
-| No log        | 2.0   | 210  | 0.8581          | 57.9973 | 9.2779  |
-| No log        | 3.0   | 315  | 0.6587          | 69.4588 | 9.7399  |
-| No log        | 4.0   | 420  | 0.5762          | 74.5636 | 9.6775  |
-| 1.4539        | 5.0   | 525  | 0.5254          | 78.8897 | 9.6946  |
-| 1.4539        | 6.0   | 630  | 0.4952          | 81.0054 | 9.7073  |
-| 1.4539        | 7.0   | 735  | 0.4773          | 83.0792 | 9.7233  |
-| 1.4539        | 8.0   | 840  | 0.4669          | 84.4309 | 9.7429  |
-| 1.4539        | 9.0   | 945  | 0.4616          | 85.0965 | 9.749   |
-| 0.144         | 10.0  | 1050 | 0.4598          | 85.3745 | 9.7522  |
-
-
-### Framework versions
-
-- Transformers 4.18.0
-- Pytorch 1.11.0+cu113
-- Datasets 2.1.0
-- Tokenizers 0.12.1
+language:
+- ru
+- kbd
+widget:
+- text: "Я иду домой."
+  example_title: "Я иду домой."
+- text: "Дети играют во дворе."
+  example_title: "Дети играют во дворе."
+- text: "Сколько тебе лет?"
+  example_title: "Сколько тебе лет?"
+---